Machine Learning

2006

(Last updated: 25-9-2006)

Organizers:   Dr. Ir. Mark Huiskes

Period: September 27^th - November 29^th 2006

Place:   Room 412 (LIACS, Snelliusgebouw)

Time:   Wednesday 15.30 - 17.00 (bi-weekly)

Description: The Machine Learning course will cover the following topics: k-nearest neighbors, linear discriminant analysis, decision trees, boosting, kernel methods, SVMs, neural networks, clustering, KLT/PCA, SVD, Q-learning

Schedule (tentative):

Place: Room 412 (LIACS, Snelliusgebouw)

Time: 15.30 - 17.00

 

Class	Subject
1	Introduction to supervised learning; Nearest Neighbor methods
2	Linear classification methods; Linear Discriminant Analysis; logistic regression
3	Principal Component Analysis (PCA)
4	Decision Trees
5	Boosting
6	Clustering
7	Unconstrained and Constrained Optimization
8	Support Vector Machines

Links:

 Machine Learning Journal

 Journal of Machine Learning Research

 UCI Machine Learning Repository